As assisted driving technology advances and vehicle entertainment systems rapidly
develop, future vehicles will become mobile cinemas, where passengers can use various …

In this paper, we propose a novel convolutional neural network (CNN) architecture, MFRNet,
for post-processing (PP) and in-loop filtering (ILF) in the context of video compression. This …

With the growing data consumption of emerging video applications and users' requirement
for higher resolutions, up to 8K, a huge effort has been made in video compression …

We introduce the concept of rate-aware deep perceptual preprocessing (DPP) for video
encoding. DPP makes a single pass over each input frame in order to enhance its visual …

The next-generation Versatile Video Coding (VVC) standard introduces a new Multi-Type
Tree (MTT) block partitioning structure that supports Binary-Tree (BT) and Ternary-Tree (TT) …

In recent years, deep learning techniques have shown significant potential for improving
video quality assessment (VQA), achieving higher correlation with subjective opinions …

The Visual Multimethod Assessment Fusion (VMAF) algorithm has recently emerged as a
state-of-the-art approach to video quality prediction, that now pervades the streaming and …

Fusion-based quality assessment has emerged as a powerful method for develo** high-
performance quality models from quality models that individually achieve lower …

We propose a new Generative Adversarial Network for Compressed Video frame quality
Enhancement (CVEGAN). The CVEGAN generator benefits from the use of a novel Mul 2 …

In this article, we compare the impact of state-of-the-art light field compression methods. It
addresses quality of (a) refocused images and (b) point clouds reconstructed from 4D light …